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AISB91 pp 84–93Cite as

Neural Networks and Visual Behaviour: Flies; Panned Eyes; and Statistics

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Abstract

Computer vision researchers have only comparatively recently begun to acknowledge the behavioural contexts of vision. So-called animate vision has a number of advantages over the inanimate paradigm. This paper reviews an ongoing project in animate vision using neural networks. The project has a novel context: it involves the simulation of a hoverfly, with the neural network acting as a closed-loop controller for the simulated fly. The underlying thesis of this work is that most neural network models which do not recognise the behavioural contexts of neural computation are of limited interest. This stance places the model within the domain of “computational neuroethology”, rather than “computational neuroscience”.

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Author information

Authors and Affiliations

  1. School of Cognitive and Computing Sciences, University of Sussex, Brighton, BN1 9QN, England, UK

    Dave Cliff

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  1. Dave Cliff
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Editor information

Editors and Affiliations

  1. Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium

    Luc Steels MSc, PhD (Professor of Artificial Intelligence, Director VUB AI Laboratory) (Professor of Artificial Intelligence, Director VUB AI Laboratory)

  2. School of Computer Studies, University of Leeds, Leeds, LS2 9JT, UK

    Barbara Smith BSc, MSc, PhD

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© 1991 Springer-Verlag London Limited

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Cliff, D. (1991). Neural Networks and Visual Behaviour: Flies; Panned Eyes; and Statistics. In: Steels, L., Smith, B. (eds) AISB91. Springer, London. https://doi.org/10.1007/978-1-4471-1852-7_8

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  • DOI: https://doi.org/10.1007/978-1-4471-1852-7_8

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19671-6

  • Online ISBN: 978-1-4471-1852-7

  • eBook Packages: Springer Book Archive

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